Artificial Intelligence Engineer

Brilliant Harvest Inc. is hiring an AI Engineer to build and ship production-ready AI agents and features for its platform. The role focuses on agent orchestration and evaluation, RAG pipelines, document ingestion, and LLM integrations, in collaboration with product and engineering teams.

Responsibilities:

• Design, build, and ship production AI agents that plan, use tools, and complete multi-step tasks across the Brilliant Harvest platform
• Implement agent orchestration, memory, and tool integrations (e.g., MCP servers), with guardrails and human-in-the-loop checkpoints for high-stakes actions
• Evaluate agents end to end, measuring task success, tool-call accuracy, cost, and latency, not just final answers
• Design, develop, test, document, and maintain production features for our AI platform, including the RAG pipelines and LLM integrations our agents rely on
• Build and improve components of our document ingestion pipelines (parsing, chunking, enrichment, and indexing), ensuring accuracy and compliance with manufacturer standards
• Investigate agent and answer-quality issues, tracing them back through tool calls, retrieval, and ingestion to find the root cause
• Help build and maintain evaluation datasets and automated checks, including LLM-as-judge, so regressions are caught before customers see them
• Prototype with new LLMs, agent frameworks, and tooling, and share findings that inform model and vendor decisions
• Participate in brainstorming sessions, design reviews, and code reviews, giving and receiving thoughtful feedback
• Write clean, well-tested code, follow the team's coding standards and CI/CD practices, and suggest improvements where you see gaps
• Use AI-first development workflows (e.g., Claude Code or similar agentic tools) to work faster, while critically reviewing everything the AI generates
• Help analyze requirements for your features, break them into well-defined tasks, and provide reliable effort estimates for your own work
• Work collaboratively with Product, Data, Design, and QA teams to deliver features aligned with business objectives and the product roadmap
• Provide input on the technical feasibility of UI/UX designs for AI features, and help integrate them with backend systems
• Communicate progress, blockers, and technical tradeoffs clearly to both technical and non-technical teammates
• Grow through hands-on mentorship from the Lead AI Engineer, taking on larger and more ambiguous problems as you're ready
• Share what you learn through code reviews, pairing, documentation, and demos, and help junior engineers get up to speed
• Embrace a "Systems Thinking" mindset, moving from writing every line by hand to orchestrating and critically reviewing AI-generated solutions